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Grid Computing Jobs (NOW HIRING)

Java Developer Specialist

Mclean, VA · On-site

$52.25 - $67.75/hr

AWS Cloud, Grid computing, * UNIX Shell Scripting/Perl/Python. Key Requirements and Technology Experience: * Communicate and work as the point person with senior management in the division for our ...

Sr Systems Engineer - Onsite

Austin, TX

$103K - $141K/yr

Utilize grid computing infrastructure to enable generation and analysis of large datasets * Produce visualizations of complex systems and mission CONOPs in STK or similar tools. * Coordinate with ...

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Grid Computing information

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$71

$79

$86

How much do grid computing jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for grid computing in the United States is $79.33, according to ZipRecruiter salary data. Most workers in this role earn between $75.72 and $82.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Grid Computing Specialist, and why are they important?

To thrive as a Grid Computing Specialist, you need a strong background in computer science, distributed systems, and network infrastructure, typically supported by a relevant degree. Familiarity with grid middleware (such as Globus Toolkit), high-performance computing clusters, and scripting languages like Python or Bash is important, and certifications in cloud or distributed computing can be advantageous. Excellent problem-solving skills, teamwork, and clear communication are crucial for collaborating across technical and research teams. These competencies ensure efficient resource management, system reliability, and successful execution of large-scale computational tasks.

What are some common challenges faced when working in a Grid Computing role, and how can they be addressed?

Professionals in Grid Computing often encounter challenges such as resource allocation, system interoperability, and managing large-scale distributed data. Addressing these issues requires strong problem-solving skills and familiarity with middleware platforms that facilitate communication between heterogeneous systems. Collaborating closely with network engineers, developers, and data scientists is essential to ensure seamless integration and optimal performance. Staying updated on emerging technologies and best practices can also help mitigate these challenges.

What is grid computing?

Grid computing is a distributed computing model that connects multiple computers, often geographically dispersed, to work together on complex tasks or large-scale processing. This system allows for the sharing of resources such as processing power, storage, and data across different organizations or locations. Grid computing is commonly used for scientific research, data analysis, and solving problems that require significant computational resources. By enabling resource pooling and task distribution, grid computing can significantly increase efficiency and reduce costs compared to traditional supercomputing methods.

What is the difference between Grid Computing vs Network Administrator?

AspectGrid ComputingNetwork Administrator
Required CredentialsTypically requires degrees in computer science, engineering, or related fields; certifications like CCNA, CompTIA Network+Same as Grid Computing: degrees in IT or related fields; certifications like CCNA, CompTIA Network+
Work EnvironmentDistributed computing environments, data centers, research institutionsCorporate offices, data centers, network operation centers
Industry UsageResearch, scientific computing, large-scale data processingBusiness networks, IT infrastructure management, enterprise networks

While both roles require networking knowledge and similar certifications, Grid Computing focuses on managing distributed computing resources for large-scale processing, whereas Network Administrators oversee and maintain organizational network infrastructure.

More about Grid Computing jobs
Infographic showing various Grid Computing job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, 39% Part Time, and 1% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $165,000 per year, or $79.3 per hour.
Sr Principal Systems Engineer - Onsite

Sr Principal Systems Engineer - Onsite

Raytheon

Tucson, AZ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

3rd of 515 rated manufacturers


Job description

Date Posted:

2026-05-07

Country:

United States of America

Location:

US-AZ-TUCSON-805 ~ 1151 E Hermans Rd ~ BLDG 805

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Top Secret

Security Clearance Status:

Active and existing security clearance required on day 1

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

Raytheon’s Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities.  Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. 

The Operations and Mission Analysis (Southwest) department is currently seeking a Systems Engineer to support Raytheon’s Advanced Technology organization. Join this highly visible team and perform highly technical assignments, directly contributing to protecting our nation and our warfighters.  Advanced Technology incubates new and novel technologies and mission areas for the RTX business, captures new programs, and executes extremely unique special projects. The team welcomes you to join our tradition of excellence through innovation and collaboration.

This is an onsite role located in Tucson, AZ.

What You Will Do

  • You will join a team of engineers and analysts to realize team objectives:

    • Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization.

  • Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers.

    • Develop common mission analysis, performance analysis, and mission planning toolsets for a various portfolio.

    • Utilize grid computing infrastructure to enable generation and analysis of large datasets

    • Produce visualizations of complex systems and mission CONOPs in STK or similar tools.

  • Coordinate with product line management and customers

  • Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture.  Opportunities to pursue IRAD funding and author intellectual property disclosures.

  • Engage directly in mission planning application software development and testing

Qualifications You Must Have

  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience.

  • Depth in at least one system-level or subsystem-level technical domain:

    • Guidance, Navigation, and Control

    • Orbital Mechanics

    • Mission Planning

    • Mission Analysis / Performance Analysis

    • Satellite Technology

    • Multidisciplinary design, System-of-Systems design

  • Experience with programming languages such as Python, MATLAB, and/or C++, and familiarity with both Windows and Linux environments.

  • Experience in one or more of the following skill areas:

    • System performance, CONOPS

    • Algorithms and signal processing

    • Modeling and simulation (i.e., 6-DOF)

  • Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

  • Advanced Degree in STEM (and can be considered as additional years of experience)

  • An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics.

  • Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked.

  • Highly self-motivated and independent work ethic. Ability to question data and address root cause issues.

  • Familiarity with Git version control and SLURM grid computing infrastructure.

  • Experience with Ansys STK

What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

Please consider the following role type definition as you apply for this role.

  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Location: Tucson, AZ: https://careers.rtx.com/global/en/raytheon-tucson,-az-location #LI-RH2

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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